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What's life really like on a fly-in-fly-out (FIFO) mine? In 2012, after touring his comedy shows through Europe, stand-up comedian Xavier Toby was broke and decided to take a job on a remote minesite to pay the bills. In his memoir, Mining My Own Business, Xavier Toby is onsite somewhere in Australia working in admin to pay off his credit card debt. Damo, Pando, Jonno, Robbo, Donk, Jokka and Dale are just some of the other blokes earning a crust, attending endless safety briefings, swapping tall tales and 'missing' the missus out there in the middle of nowhere. With Xavier, FIFO is not life on hold - it is life in hilarious overdrive.
Practical guide for organization leaders, top-level executives. Industry experts explain in clear, understandable English. What data mining and predictive analytics are
In this book, Dr. Soofastaei and his colleagues reveal how all mining managers can effectively deploy advanced analytics in their day-to-day operations- one business decision at a time. Most mining companies have a massive amount of data at their disposal. However, they cannot use the stored data in any meaningful way. The powerful new business tool-advanced analytics enables many mining companies to aggressively leverage their data in key business decisions and processes with impressive results. From statistical analysis to machine learning and artificial intelligence, the authors show how many analytical tools can improve decisions about everything in the mine value chain, from exploration to marketing. Combining the science of advanced analytics with the mining industrial business solutions, introduce the “Advanced Analytics in Mining Engineering Book” as a practical road map and tools for unleashing the potential buried in your company’s data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. In addition, the book will provide the next generation of miners – undergraduate and graduate IT and mining engineering students – with an understanding of data analytics applied to the mining industry. By providing a book with chapters structured in line with the mining value chain, we will provide a clear, enterprise-level view of where and how advanced data analytics can best be applied. This book highlights the potential to interconnect activities in the mining enterprise better. Furthermore, the book explores the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain – in line with the emerging vision of creating a digital mine with much-enhanced capabilities for modeling, simulation, and the use of digital twins – in line with leading “digital” industries.
Learn How to Properly Use the Latest Analytics Approaches in Your Organization Computational Business Analytics presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. Through many examples and challenging case studies from a variety of fields, practitioners easily see the connections to their own problems and can then formulate their own solution strategies. The book first covers core descriptive and inferential statistics for analytics. The author then enhances numerical statistical techniques with symbolic artificial intelligence (AI) and machine learning (ML) techniques for richer predictive and prescriptive analytics. With a special emphasis on methods that handle time and textual data, the text: Enriches principal component and factor analyses with subspace methods, such as latent semantic analyses Combines regression analyses with probabilistic graphical modeling, such as Bayesian networks Extends autoregression and survival analysis techniques with the Kalman filter, hidden Markov models, and dynamic Bayesian networks Embeds decision trees within influence diagrams Augments nearest-neighbor and k-means clustering techniques with support vector machines and neural networks These approaches are not replacements of traditional statistics-based analytics; rather, in most cases, a generalized technique can be reduced to the underlying traditional base technique under very restrictive conditions. The book shows how these enriched techniques offer efficient solutions in areas, including customer segmentation, churn prediction, credit risk assessment, fraud detection, and advertising campaigns.
This business book is different. Unlike every other book you'll read with titles like "How To Craft The Perfect Business Plan in 89 Incredibly Simple Steps", this book is different. It's a simple "How To" guide for creating a Business Plan that's right for you and your business and also an easy to follow workbook. The workbook will guide you through the process you need to follow. It tells you the questions that you need to consider, the numbers you need (and how to get them), and supporting documents you need to gather. The main purpose of a business plan is to aid YOU in running YOUR business. So the workbook has been designed for you to write the information in and refer back to as needed. If you need to supply your Business Plan to another party, such as a bank if you're looking for finance, then it's simple to type up the various sections for a professional document. Running your own business is both a challenging and daunting prospect. With a well-thought-out business plan in place (anticipating the challenges you'll face AND the solutions) it will be much less daunting and much more exciting. Good luck! Molly
Aiming at building efficient radiology operations, this book walks the reader through the entire radiology workflow, from the moment that the examination is requested to the reporting of findings. Using their practical experience, the authors draw attention to the many elements that can go wrong at each step, and explain how critical analysis and objective metrics can be used to fix broken processes. Readers will learn how to measure the efficiency of their workflows, where to find relevant data, and how to use it in the most productive ways. The book also addresses how data can be turned into insightful operational information to produce organizational change. All aspects of radiology operations are considered including ordering, scheduling, protocols, checking-in, image acquisition, image interpretation, communication, and billing. The closing section provides a deeper dive into the advanced tools and techniques that are used to analyze operations, including queuing theory, process mining and artificial intelligence.
A new business rarely runs smoothly, and indeed the failure rate of new enterprises is so high that many would-be entrepreneurs prefer not to take the risk. Entrepreneurship and How to Establish Your Own Business gives you practical guidelines on how to develop your business ideas and establish your own successful enterprise.